Senior Software Engineer - AI

Netcore Cloud · Bangalore

Source and collection record

Last observed by our collector: 9 October 2026 at 1:08 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 842

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Collected role description

Senior Software Engineer - AI About Netcore Unbxd Netcore Unbxd is an AI-powered product discovery platform recognized by Forrester and Gartner as the global leader in Commerce Search and Product Discovery, earning Leader status in Gartner's 2025 Magic Quadrant™ for the second consecutive year. We're trusted by billion-dollar retailers like Unilever, Waitrose, Express, Puma, Signet, and Advance Auto Parts to power conversions and revenue through best-in-class product discovery and personalization. We're at the forefront of Agentic AI in commerce — building AI Shopping Assistants and Autonomous Merchandising Agents that redefine how shoppers find what they want. Curious what it's like to work here? Check out Life at Netcore - Life at Netcore : Also Please have a look at our Founder's take on where we're headed : https://www.founderthesis.com/p/rajesh-jain-and-netcore-cloud-the What do you contribute? As part of our AI team, you will be responsible for building & maintaining scalable Data/ML pipelines that support our high performance, scalable, robust SAAS platform. You will also contribute in building/improving Data Analytics/ML insights applications & realtime pipelines for our Martech & product discovery platform. Must have ✔ Overall experience of 4-5 years in building applications at scale. ✔ Proficiency in, at least, one modern programming language such as Java, Golang, Python. ✔ Proficiency in, at least, one data/ml programming language such as Python/Java/Scala. ✔ Hands on experience in Design, Architecture, Implementation, Performance & Scalability and Distributed Systems. ✔ Experience in big data technologies (spark/Apex/Storm) ✔ You have strong problem solving and analytical skills. ✔ You have an understanding of the full software development lifecycle. Good To Have ✔ Exposure to Docker, Kubernetes and related ecosystems. ✔ Experience in building high throughput big data pipelines & batch data processing tools ✔ Experience in highly scalable tools like Kafka, Spark, Vertica, Hive, Hadoop. ✔ Experience in ML toolkits like kubeflow / AI workflows/ AWS Batch is a plus

Collected experience requirement

3-4 years